Bidirectional Call Translation in Controlled Environment

3. The method of claim 1, wherein the translation of the voice data is based on the user speech metrics.

4. The method of claim 3, wherein the cadence represents a speech speed of the user and wherein the cadence is calculated based on the voice data and prior voice data stored from a prior call session.

6. The method of claim 3, wherein the user speech metrics include a word/phrase frequency, wherein the word/phrase frequency represents usage of a word or phrase by the user and wherein the word/phrase frequency is calculated based on the voice data and prior voice data stored from a prior call session.

8. The method of claim 3, wherein the user speech metrics include an intonation, wherein the intonation represents a voice pitch of the user and wherein the intonation is calculated based on the voice data and prior voice data stored from a prior call session.

11. The call translation server of claim 9, wherein the translation of the voice data is based on the user speech metrics.

12. The call translation server of claim 11, wherein the cadence represents a speech speed of the user and wherein the cadence is calculated based on the voice data and prior voice data stored from a prior call session.

14. The call translation server of claim 9, wherein the user speech metrics include a word/phrase frequency, wherein the word/phrase frequency represents usage of a word or phrase by the user and wherein the word/phrase frequency is calculated based on the voice data and prior voice data stored from a prior call session.

18. The non-transitory computer-readable medium of claim 16, wherein the translation of the voice data is based on the user speech metrics.

19. The non-transitory computer-readable medium of claim 18, wherein the cadence represents a speech speed of the user and wherein the cadence is calculated based on the voice data and prior voice data stored from a prior call session.